Parametrical analysis on topological features for sensor networks

In the paper average paths length and clustering coefficient are used to analyse different generated network topologies. Further, significance profiles (SP) is introduced to analyse the networks in search for the network motifs, which are the dominant subgraphs of different topologies, as a preparation of our future work. The results can be utilised in designing an effective network protocol to maintain integrity and robustness, and to ensure connectivity in a wireless sensor network.